Identification

Title

CESM Large Ensemble with Increased Access (LEIA) for Ocean Biogeochemistry

Alternative title(s)

d645000

Abstract

The yearly mean of 34 CESM large ensemble members on 2 degree longitude-latitude resolution with 33 vertical depth levels are in this dataset. This level of compression is chosen to keep the balance of large-scale model fields and the need to reduce data volume. Historical and RCP8.5 scenario segments are combined to a single time series consisting 1920 to 2100. The pre industry control simulation is also provided using the same data reduction scheme to allow for drift correction. Each ensemble member can fit in a single NetCDF file of 7.3GB containing 15 physical and biogeochemical variables. The reduction in both temporal and spatial resolution causes a loss of information, and its effect is assessed for a subset of model fields including sea surface temperature at 5m, subsurface dissolved oxygen at 200m, and air-sea flux of carbon dioxide . The largest basin-scale biases are found in the Arctic Ocean. For the global means, the biases are about an order of magnitude smaller. The interpolation error is most significant near the coast line. The surface ocean area is reduced by approximately 3% due to the loss of some coastal grid cells. These initial assessment suggest that the errors introduced by this resolution reduction are relatively small, and the reduced data volume generally benefits more than the small increase in uncertainty for global and basin-wide diagnostics.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d645000/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d645000/dataaccess/

protocol: https

applicationProfile: browser

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

oceans

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

COMPUTERS > COMPUTERS

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-23

Keyword set

keyword value

Computer > Computer

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-06-28

Keyword set

keyword value

EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY

EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE

EARTH SCIENCE > OCEANS > SALINITY/DENSITY > POTENTIAL DENSITY

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-24

Geographic location

West bounding longitude

-180

East bounding longitude

180

North bounding latitude

90

South bounding latitude

-90

Temporal reference

Temporal extent

Begin position

1920-01-01T00:00:00Z

End position

2100-01-01T00:00:00Z

Dataset reference date

date type

publication

effective date

2019-05-30

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

telephone number

(303)-497-1833

facsimile number

303-497-1291

email address

chifan@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NCAR Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

facsimile number

303-497-1291

email address

rdahelp@ucar.edu

web address

https://rda.ucar.edu/

name: NCAR Research Data Archive

description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.

function: downlaod

responsible party role

pointOfContact

Metadata date

2024-08-04T02:11:36Z

Metadata language